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Coffee consumption and gastric cancer: a pooled analysis from the Stomach cancer Pooling Project consortium.
Martimianaki, Georgia; Bertuccio, Paola; Alicandro, Gianfranco; Pelucchi, Claudio; Bravi, Francesca; Carioli, Greta; Bonzi, Rossella; Rabkin, Charles S; Liao, Linda M; Sinha, Rashmi; Johnson, Ken; Hu, Jinfu; Palli, Domenico; Ferraroni, Monica; Lunet, Nuno; Morais, Samantha; Tsugane, Shoichiro; Hidaka, Akihisa; Hamada, Gerson Shigueaki; López-Carrillo, Lizbeth; Hernández-Ramírez, Raúl Ulises; Zaridze, David; Maximovitch, Dmitry; Aragonés, Nuria; Martin, Vicente; Ward, Mary H; Vioque, Jesus; Garcia de la Hera, Manoli; Zhang, Zuo-Feng; Kurtz, Robert C; Lagiou, Pagona; Lagiou, Areti; Trichopoulou, Antonia; Karakatsani, Anna; Malekzadeh, Reza; Camargo, M Constanza; Curado, Maria Paula; Boccia, Stefania; Boffetta, Paolo; Negri, Eva; La Vecchia, Carlo.
Afiliação
  • Martimianaki G; Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", University of Milan, Milan, Italy.
  • Bertuccio P; Hellenic Health Foundation, Athens, Greece.
  • Alicandro G; Department of Biomedical and Clinical Sciences L. Sacco.
  • Pelucchi C; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
  • Bravi F; Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", University of Milan, Milan, Italy.
  • Carioli G; Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", University of Milan, Milan, Italy.
  • Bonzi R; Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", University of Milan, Milan, Italy.
  • Rabkin CS; Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", University of Milan, Milan, Italy.
  • Liao LM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Sinha R; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Johnson K; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Hu J; School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada.
  • Palli D; Harbin Medical University, Harbin, China.
  • Ferraroni M; Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network, ISPRO, Florence, Italy.
  • Lunet N; Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", University of Milan, Milan, Italy.
  • Morais S; EPIUnit - Instituto de Saúde Pública da Universidade do Porto.
  • Tsugane S; Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, Porto, Portugal.
  • Hidaka A; EPIUnit - Instituto de Saúde Pública da Universidade do Porto.
  • Hamada GS; Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, Porto, Portugal.
  • López-Carrillo L; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
  • Hernández-Ramírez RU; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
  • Zaridze D; Nikkei Disease Prevention Center, São Paulo, Brazil.
  • Maximovitch D; Mexico National Institute of Public Health, Morelos, Mexico.
  • Aragonés N; Department of Biostatistics, Yale School of Public Health, Yale School of Medicine, New Haven, Connecticut, USA.
  • Martin V; Department of Epidemiology and Prevention, Russian N.N. Blokhin Cancer Research Center, Moscow, Russia.
  • Ward MH; Department of Epidemiology and Prevention, Russian N.N. Blokhin Cancer Research Center, Moscow, Russia.
  • Vioque J; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP).
  • Garcia de la Hera M; Cancer Epidemiology Section, Public Health Division, Department of Health of Madrid, Madrid.
  • Zhang ZF; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP).
  • Kurtz RC; Research Group in Gene-Environment Interactions and Health, University of León, León.
  • Lagiou P; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Lagiou A; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP).
  • Trichopoulou A; Nutritional Epidemiology Unit, Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain.
  • Karakatsani A; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP).
  • Malekzadeh R; Nutritional Epidemiology Unit, Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain.
  • Camargo MC; Department of Epidemiology, UCLA Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, California.
  • Curado MP; Department of Medicine, Memorial Sloan Kettering Cancer Centre, New York, New York, USA.
  • Boccia S; Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
  • Boffetta P; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Negri E; Department of Public and Community Health, School of Public Health, University of West Attica, Athens.
  • La Vecchia C; Hellenic Health Foundation, Athens, Greece.
Eur J Cancer Prev ; 31(2): 117-127, 2022 03 01.
Article em En | MEDLINE | ID: mdl-34545022
OBJECTIVE: This study aimed to evaluate and quantify the relationship between coffee and gastric cancer using a uniquely large dataset from an international consortium of observational studies on gastric cancer, including data from 18 studies, for a total of 8198 cases and 21 419 controls. METHODS: A two-stage approach was used to obtain the pooled odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) for coffee drinkers versus never or rare drinkers. A one-stage logistic mixed-effects model with a random intercept for each study was used to estimate the dose-response relationship. Estimates were adjusted for sex, age and the main recognized risk factors for gastric cancer. RESULTS: Compared to never or rare coffee drinkers, the estimated pooled OR for coffee drinkers was 1.03 (95% CI, 0.94-1.13). When the amount of coffee intake was considered, the pooled ORs were 0.91 (95% CI, 0.81-1.03) for drinkers of 1-2 cups per day, 0.95 (95% CI, 0.82-1.10) for 3-4 cups, and 0.95 (95% CI, 0.79-1.15) for five or more cups. An OR of 1.20 (95% CI, 0.91-1.58) was found for heavy coffee drinkers (seven or more cups of caffeinated coffee per day). A positive association emerged for high coffee intake (five or more cups per day) for gastric cardia cancer only. CONCLUSIONS: These findings better quantify the previously available evidence of the absence of a relevant association between coffee consumption and gastric cancer.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Café Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Café Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article